Power UIs with live data
Join and transform operational data for live applications, dashboards, and analytics.
Trusted for production UIs at scale
Ship data-intensive UIs faster
For fast-moving scenarios like delivery tracking or trade monitoring, users need to see what's happening in the moment to make informed decisions. But providing UIs with live data is complex, normally involving slow database queries, fragile caching strategies, or inflexible data pipelines. Materialize helps you ship data-intensive UIs faster, by using standard SQL to join and transform operational data. Power reactive user experiences, operational dashboards, and portfolio analytics systems — all with sub-second freshness.
Power live customer experiences with fresh data
Modern web and mobile apps need up-to-the-second data to power features like delivery tracking, account balances, and order status. But serving personalized live data to every user means either polling databases with queries or months building complex pipelines. With Materialize, you can build live views of data in SQL and access results over a standard Postgres connection. Create data products representing core entities like orders and shipments, query and filter them for user-specific results, and either pull fresh data on demand or subscribe to receive updates as they happen. With standard SQL and Postgres compatibility, developers can build and change live features in hours.
Run production systems with up-to-the-second visibility
Internal teams need live visibility into business metrics and system performance, in order to quickly identify and resolve issues. But operational data lives across databases, services, and queues, making it difficult to query and visualize. Materialize lets you unify and transform data into live views with sub-second freshness, to power dashboards and alerts. Connect data sources over Kafka or CDC, join, aggregate, and filter with SQL, and query from BI tools or applications over a standard Postgres connection. With live alerts and dashboards, teams can identify and respond to issues as they happen.
"We were already building these dashboards. Materialize meant that refreshes could happen very quickly."
Model live portfolios and what-if scenarios
Trading and risk teams need to track holdings and perform what-if scenarios in order to make informed decisions. But portfolio analytics involve heavy, interdependent calculations, which take time to recompute when things change. With Materialize, you can model portfolios as live views that are kept up-to-date with underlying data. Connect and join price feeds, trading systems, and other operational sources, create data products in SQL representing holdings, valuations, and risk simulations, and push live results to dashboards and applications over Postgres. With support for aggregations, window functions, and recursive CTEs, teams can quickly model complex portfolios and test scenarios without complex application code.
Learn how to implement live portfolio views and analytics — without complex data pipelines.
Built for speed and freshness
Integrate data from multiple databases, Kafka, and webhooks without complex pipelines.
Query, combine, and transform data with complex joins, window functions, and recursive queries.
Create live views and data products that are precomputed and kept up to date as underlying data changes.
Connect existing applications, drivers, and tools with full PostgreSQL wire protocol compatibility.
Push changes over a Postgres connection using SUBSCRIBE, instead of polling.
Explore Materialize
Learn more about Materialize, architectural patterns, and use cases.